Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 16-Mar-2022 | On technical trading and social media indicators for cryptocurrency price classification through deep learning | Ortu, M; Uras, N; Conversano, C; Bartolucci, S; Destefanis, G |
| 2023 | Skin Lesion Diagnosis Using Convolutional Neural Networks | Nunez, D; Li, Y |
| 4-Sep-2023 | A Novel Ensemble-Learning-Based Convolution Neural Network for Handling Imbalanced Data | Wu, X; Wen, C; Wang, Z; Liu, W; Yang, J |
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